Hiring callin.io automation expert with data science background

Hiring: Experienced callin.io Developer for Building Agentic Multistep Workflow in Property Tax Appeal Automation

Hello callin.io community!

We’re a team working on automating the property tax appeal process for homeowners and real estate professionals. We’ve already developed core flows for key parts of this process, but we need an expert callin.io developer to integrate everything into a robust, agentic multistep workflow based on internal architecture we have built. This will involve data ingestion, AI-driven modeling, analysis, and document preparation, all orchestrated in callin.io.

Project Overview

The goal is to fully automate the end-to-end property tax appeal workflow, from data collection to final adjustments and triggers. Key components from the diagram include:

• Data Inputs: Pulling from sources like Zillow API, property forms, parcel directories, realtor comps engine, crime stats, school test scores, hazard proximity, and location data (e.g., airports, highways, wildfire riskzones).
• Storage & Processing: Feeding data into MongoDB for initial storage, then to an S3 warehouse layer for structured handling.
• AI & Modeling Steps: Using Python modules for sectional modeling (e.g., SEC 1 of a form input for modeling, SEC 5 of the same form for a different agent, visual AI models will be added to the workflow, secondary modeling for review and quality assurance of primary documents, pre-adj data modeling).
• AI Agents: Integrating ChatGPT (o3 model) for in-house tasks like selected comps and verbal additions, and Claude for document preparation.
• Analysis & Outputs: Comparable property analysis with final adjustments, supporting automated/manual intervention and manual triggers.
• Future Scope: AI layer injection for enhanced automation; currently using AWS for hosting, with plans to model on Azure in the future. For now, we’re leveraging ChatGPT and Claude models.

This workflow needs to be agentic (self-correcting and adaptive) with multistep logic, error handling, conditional branching, and integrations for real-time data pulls and AI calls. We’re looking to build on our existing flows to make this scalable and reliable.

Requirements

• Proven experience with callin.io: Building complex, multistep workflows with custom nodes, error handling, and scheduling.
• Strong integration skills: APIs (Zillow, Realtor, etc.), databases (MongoDB), cloud storage (AWS S3), and AI services (OpenAI/ChatGPT, Anthropic/Claude).
• Python scripting in callin.io for custom logic, data processing, and modeling (we have libraries like numpy, pandas, etc., available if needed).
• Experience with AWS; bonus if you’ve worked with Azure/GIS for future-proofing.
• Understanding of automation in real estate or legal processes is a plus, but not required.
• Ability to interpret and implement based on flowcharts/diagrams/user interviews.

This is a freelance/contract role, with potential for ongoing work as we expand. Estimated timeline: 4-16 weeks for initial build, depending on scope.

Compensation

Competitive hourly rate or fixed project fee (open to discussion based on experience). Please include your rate expectations in your response.

How to Apply

Prior to applying know that we will have a 1 hour call with you and go through specific task oriented tests to ensure you know what your doing and will time you on how long it takes you to do these tasks. Our team testing you are multi decade senior software and data architects.

If this sounds like a fit, reply here or DM me with:

• Your callin.io portfolio or examples of similar workflows you’ve built. Not someone else work that you copied from SKOOL, we will know.
• Relevant experience with the tech stack mentioned and other tech stack.
• Availability and estimated timeline.
• Any questions about the project.

Looking forward to collaborating with the callin.io pros here if your up for the challenge.